jobs in Verinon Technology Solutions Sdn Bhd.

Kerja Sepenuh Masa, Senior Data Analyst di Verinon Technology Solutions . Federal Territory - Maukerja

Undisclosed

KL City, Federal Territory

Kongsi
Simpan

Lokasi Kerja

  • Kuala Lumpur Federal Territory Malaysia

Penerangan Kerja

Tanggungjawab

Permanent

Kuala Lumpur

RM 12,000 - RM 17,000

12 Years of experience in Data Analyst and 6+ years in Banking


Qualifications:

 Bachelor Degree / Master in IT/Computer Science or related discipline

 12+ years Working experience in Data Warehouse banking, BI, reporting tools, data modeling and design and etc or equivalent


Skills Required:

 Good understanding of data warehousing, data modeling, reporting and other relevant technical skills i.e. SQL, HQL, UNIX, Data Warehouse, Teradata, informatica.

 Working experience in Financial & Banking sector


Job Purpose:

 Assume responsibility as data analyst to assist data management head for request coming through Project Support, URS and BAU fixes.

 Able to write, understand and troubleshoot complex business logics in SQLs/HQLs And provide RCA and also fixes to issues found.

 Write Stored Procedures, Functions SQLs and Teradata, Oracle , Hive HQLs

 Develop jobs in shell scripts in Unix/Linux

 Team player and strong communication skills in dealing with various departments or stakeholders


Accountability:

 All business requirements and necessary details for designing the solution have been capture

 All data requirements are mapped and translated to Functional Specification document (FSD) for delivery


Supporting Activities:

 Review BRD to confirm data requirements

 Cross check against Data warehouse (DWH) to confirm data availability or data gaps

 Perform data mapping based on DWH data design and model

 Perform data profiling to identify data quality issues


Outcome/ deliverables:

 Business Requirement Document

 Updated DWH data mapping document and script

 Outputs as per business expectations


Challenges:

 Understanding of business demand and target objectives

 Familiarity to the DWH data model and data mapping document




Peringatan Penting

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